Pick crops efficiently and sustainably with robots trained to harvest maximum yields with minimal resources and waste. Siemens Digital Twins solutions train harvesting robots virtually, so they’re prepared to handle high capacity demands safely and quickly during peak season.
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Challenge
Robots need training to harvest effectively and navigate safely inside greenhouses. But physical trials are costly, time-consuming, and risk damage to equipment and infrastructure.
Solution
Provide a safe, controlled digital training scenario for robots to perfect harvesting techniques. Within Siemens Digital Twin environment, you can tweak parameters and test different scenarios to improve robot performance quickly.
Train robot neural networks to pick crops cost-effectively, without the need to deploy and maintain equipment in a real farm environment. Simulate physical conditions with Siemens Digital Twin solutions and use SIMATIC S7-1500 to control robots and collect sensor data for rapid robot development.
Get robots ready for harvest with virtual training in picking techniques and monitoring plant health and ripeness.
Teach robots to pick crops quickly with virtual simulations — without risking damage to equipment and greenhouse infrastructure.